Senior Associate - Senior GCP Security Engineer

 

Location Designation: Hybrid - 3 days per week 

 

 

Role Overview

We are looking for a Senior GCP Security Engineer who lives on GCP and can own the security architecture end-to-end, not just advise on it. You will design guardrails, write Terraform, integrate with Harness CI/CD pipelines, and partner with engineering teams to ensure every resource deployed is secure by default. This role is GCP-first. Familiarity with AWS and Azure is a plus, but your day-to-day will be deep in Google Cloud: securing GKE workloads, governing AI pipelines on Vertex AI, managing identities via ICAM, and using native GCP security services to detect and respond to threats.

 

What You'll Bring:

• 5+ years of experience in cloud security, with the majority focused on GCP environments.
• Deep hands-on experience with GCP security services including IAM, VPC Service Controls, Cloud Armor, KMS, Secret Manager, DLP, and SCC.
• Strong Elastic SIEM experience including log ingestion, detection engineering, alert management, and threat correlation.
• Production-level Terraform experience including module development, infrastructure automation, and state management.
• Experience integrating security controls into CI/CD pipelines using Harness or equivalent platforms.
• Strong knowledge of Kubernetes and GKE security including pod security admission, network policies, Workload Identity, and Binary Authorization.
• Hands-on experience with ICAM or enterprise identity platforms governing non-human identities and workload access.
• Practical knowledge of AI/ML security including Vertex AI workload protection, LLM API governance, and training data security.

 

Preferred Qualifications

• Google Professional Cloud Security Engineer or Professional Cloud Architect certification.
• Experience with policy-as-code tooling such as OPA/Rego, Sentinel, or Checkov.
• Familiarity with AWS security services including IAM, GuardDuty, SCPs, and multi-cloud security architectures.
• Experience with Cribl Stream or similar log routing technologies integrated with Elasticsearch.
• Understanding of compliance-driven security requirements including NY DFS 23 NYCRR 500, NAIC, NIST CSF, CIS Benchmarks, and ISO 27001.
• Working knowledge of enterprise identity platforms including SailPoint, CyberArk, Ping Identity, Active Directory, and LDAP.
• Experience securing AI agent frameworks such as LangChain or Vertex AI Agent Builder.

 

 

Primary Technology Stack:

• GCP: Vertex AI, GKE, Cloud Armor, KMS, SCC, DLP, Secret Manager, Certificate Manager, BigQuery, Cloud Run
• Infrastructure as Code: Terraform (required), Harness CI/CD, ICAM
• Identity: GCP Workload Identity Federation, service account governance, ICAM, SailPoint, CyberArk, Ping Identity, Active Directory, LDAP
• AI/ML: Vertex AI Agent Builder, Gemini APIs, BigQuery ML, RAG pipelines
• Secondary: AWS (IAM, GuardDuty, Bedrock), Azure (familiarity acceptable)
• Observability: Elastic SIEM (primary), SCC, Cribl Stream, Elasticsearch

 

Pay Transparency

Salary Range: $124,000-$177,000 

Overtime eligible: Exempt 

Discretionary bonus eligible: Yes 

Sales bonus eligible: No 

Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.